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Data Warehousing Implementation Success: The Findings Using Different Research Methodologies

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Title: Data Warehousing Implementation Success: The Findings Using Different Research Methodologies


1
Data Warehousing Implementation Success The
Findings Using Different Research Methodologies
  • Hugh J. Watson
  • Terry College of Business
  • University of Georgia
  • hwatson_at_terry.uga.edu
  • http//www.terry.uga.edu/hwatson/implementation_s
    uccess.ppt

2
Research on Data Warehousing
  • Started in 1994
  • Has focused on implementation issues and
    organizational benefits
  • Has utilized a variety of research methodologies

3
First American Corporation
  • FAC -- A bank in trouble
  • Enter a new management team
  • A CRM strategy, Tailored Client Solutions, was
    created

4
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5
First American Corporation
  • FAC -- A bank in trouble
  • Enter a new management team
  • A CRM strategy, Tailored Client Solutions, was
    created
  • A data warehouse called VISION was developed to
    support the strategy

6
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7
First American Corporation
  • Applications using VISION were developed for
    every component of TCS

8
Applications for Every Component of the Strategy
  • Client Information Customer Preferences and
    Profiles
  • Flexible Product Line Profitability Analysis for
    Seniors Accounts
  • Consistent Service Contact Management System
  • Distribution Management Distribution Management
    System

9
First American Corporation
  • External talent was brought in as needed
  • A phased implementation strategy was followed,
    with short-term wins
  • Only after early successes, was the strategy
    fully communicated throughout the bank
  • Incentive and reward systems were changed

10
The Outcomes at FAC
  • The bank was transformed
  • A shift from banking by intuition to banking
    by information and analysis
  • Profits of over 211 million (US) in 1998
  • A leader in the financial services industry
  • Won the 1999 Society for Information Management
    Award

11
What Was Learned
  • A strong business vision is more important than
    existing in-house IT expertise
  • Acquire the needed business and technical
    personnel
  • Both organizational and technological changes are
    necessary
  • Plan for "quick hit" success, and repeated
    successes

12
Whirlpool
  • An international manufacturer of appliances
  • In the early 1990s, several business units saw
    the need for integrated data
  • IT saw a data warehouse as a way to improve the
    technical infrastructure
  • Sponsorship for the warehouse came from a senior
    IT manager, who left shortly after initiating the
    project

13
Whirlpool
  • Specific applications were developed based on the
    warehouse -- quality, global purchasing, and cost
    recovery
  • Users are pleased with the warehouse but it has
    not dramatically affected how the company is run
  • Senior management is aware of the warehouse but
    does not view it strategically

14
A Question Why were the returns from data
warehousing so much greater at FAC than Whirlpool?
15
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17
What Was Learned
  • Kotters theory of organizational transformation
    can help explain and predict why some
    organizations are more successful with their data
    warehousing efforts

18
Factors Affecting Data Warehousing Success
  • Data warehouses are claimed to have high failure
    rates hence, the need for research
  • Most of the current knowledge is anecdotal and
    based on experiences in a few firms
  • A research model was developed and data were
    collected from 111 organizations

19
Factors Affecting Data Warehousing Success
  • Partial Least Squares (PLS) was used to test the
    research model

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What Was Learned
  • Many of the traditional IT implementation factors
    apply to data warehousing
  • Other factors, however, affect system and data
    quality
  • Implementation success factors can be grouped
    together for parsimony
  • Findings may be applicable to other
    infrastructure projects

22
Comparing the Research Methods
  • Choose a best practices company
  • The company can be a source of useful insights
    and examples
  • A single or multiple case studies can be used to
    develop or test theories
  • Positivistic research provides more generalizable
    findings but may be weaker for providing new
    insights

23
References
  • Cooper, B.L., H.J. Watson, B.H. Wixom, and D.L.
    Goodhue, "Data Warehousing Supports Corporate
    Strategy at First American Corporation," MIS
    Quarterly, (December, 2000), pp. 547-567.
  • Haley, B.J., The Benefits of Data Warehousing at
    Whirlpool, Annuals of Cases on Information
    Technology Applications and Management in
    Organizations, Hershey, PA, Idea Publishing
    Group, 1999, pp. 14-25.
  • Kotter, J.P., Leading Change Why Transformation
    Efforts Fail, Harvard Business Review,
    (March/April, 1995), pp. 59-67.

24
References
  • Watson, H.J., D.L. Goodhue, and B.H.Wixon, The
    Benefits of Data Warehousing Why Some
    Organizations Realize Exceptional Benefits,
    Information Management, (forthcoming).
  • Wixom, B.H. and H.J. Watson, An Empirical
    Investigation of the Factors Affecting Data
    Warehousing Success, MIS Quarterly, (March,
    2001), pp. 1-25.

25
Danke
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